- Computer Vision
- Deep Learning
- Machine Learning
- Data Preprocessing
- Image Analysis
- Tensorflow
- Classification Algorithms
- Model Evaluation
- Keras (Neural Network Library)
- Applied Machine Learning
- Transfer Learning
- Convolutional Neural Networks
Convolutional Neural Networks in TensorFlow
Completed by Csilla Balogi
January 14, 2021
16 hours (approximately)
Csilla Balogi's account is verified. Coursera certifies their successful completion of Convolutional Neural Networks in TensorFlow
What you will learn
Handle real-world image data
Plot loss and accuracy
Explore strategies to prevent overfitting, including augmentation and dropout
Learn transfer learning and how learned features can be extracted from models
Skills you will gain
